Evidence map›Paper›PMID 25461873›Full record

ArticleSocial science & medicine (1982)2015

Mental health and general wellness in the aftermath of Hurricane Ike.

Sarah R Lowe, Spruha Joshi, Robert H Pietrzak, Sandro Galea, Magdalena Cerdá

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Youth Suicidality in the Context of Disasters.Current psychiatry reports · 2023
    Review
  8. Article
  9. Article
  10. Hurricane Florence and suicide mortality in North Carolina: a controlled interrupted time-series analysis.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Space-Time Dependence of Emotions on Twitter after a Natural Disaster.International journal of environmental research and public health · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah R LoweDepartment of Epidemiology, Columbia University, Mailman School of Public Health, USA. Electronic address: srl2143@columbia.edu.
Spruha JoshiDepartment of Epidemiology, Columbia University, Mailman School of Public Health, USA.
Robert H PietrzakUnited States Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, USA; Department of Psychiatry, Yale University School of Medicine, USA.
Sandro GaleaDepartment of Epidemiology, Columbia University, Mailman School of Public Health, USA.
Magdalena CerdáDepartment of Epidemiology, Columbia University, Mailman School of Public Health, USA.

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
National Center for Disaster Mental Health ResearchP60MH082598 · NIMH · DARTMOUTH COLLEGE · PI NORRIS, FRAN H · 2007 to 2011
$4.7M
NIMH NIH HHS P60 MH082598NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

Exposure to natural disasters has been linked to a range of adverse outcomes, including mental health problems (e.g., posttraumatic stress symptoms [PTSS], depression), declines in role functioning (e.g., occupational difficulties), and physical health problems (e.g., somatic complaints). However, prior research and theory suggest that the modal postdisaster response in each of these domains is resilience, defined as low levels of symptoms or problems in a given outcome over time, with minimal elevations that are limited to the time period during the disaster and its immediate aftermath. However, the extent to which disaster survivors exhibit mental health wellness (resilience across multiple mental health conditions) or general wellness (resilience across mental health, physical health, and role functioning domains) remains unexplored. The purpose of this study was to quantify mental health and general wellness, and to examine predictors of each form of wellness, in a three-wave population-based study of Hurricane Ike survivors (N = 658). Latent class growth analysis was used to determine the frequency of resilience on four outcomes (PTSS: 74.9%; depression: 57.9%; functional impairment: 45.1%; days of poor health: 52.6%), and cross-tabulations were used to determine the frequency of mental health wellness (51.2%) and general wellness (26.1%). Significant predictors of both mental health and general wellness included lower peri-event emotional reactions and higher community-level collective efficacy; loss of sentimental possessions or pets and disaster-related financial loss were negative predictors of mental health wellness, and loss of personal property was a negative predictor of general wellness. The results suggest that studies focusing on a single postdisaster outcome may have overestimated the prevalence of mental health and general wellness, and that peri-event responses, personal property loss and collective efficacy have a cross-cutting influence across multiple domains of postdisaster functioning.

Indexed as

Cyclonic StormsHealth StatusMental HealthResilience, PsychologicalAdultDepressionDisastersFemaleHumansMaleMiddle AgedRisk FactorsStress Disorders, Post-TraumaticSurvivorsTexasYoung AdultMental healthNatural disastersPhysical healthResilienceRole functioningWellness

Identifiers

PMID25461873
PMCPMC4276466

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.